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IOC, un instrumento para cualificar desempeño docente en aula: Su generación y validación

2013· article· es· W1997606234 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEstudios pedagógicos · 2013
Typearticle
Languagees
FieldSocial Sciences
TopicHigher Education Teaching and Evaluation
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Este trabajo se enmarca en una investigación que estudia en qué medida la formación práctica influye en el desempeño de los profesores que inician su ejercicio profesional. Este artículo da cuenta del proceso de generación y validación de un instrumento de evaluación que permita establecer, a partir de la observación en aula, el nivel de desempeño evidenciado por profesores principiantes, en tareas de conducción y evaluación de procesos de enseñanza aprendizaje. Los resultados permiten establecer que el instrumento presenta validez de contenido, en cuanto posee un lenguaje apropiado al contexto nacional y de fácil comprensión, fidelidad con el instrumento original, coherencia con los propósitos del estudio y solidez técnica. La validación empírica, además de establecer la consistencia en las mediciones entre observadores, permitió establecer la factibilidad de uso del instrumento en el contexto nacional e identificar dificultades en su aplicación que pudieran vulnerar la objetividad de la información producida.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.606
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.007

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.049
GPT teacher head0.381
Teacher spread0.332 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it